Memphis vs. Boise State prediction favors Boise State to win in college football Week 2 [2026]

Using trusted machine learning and data, we have re-simulated the outcome of Memphis vs. Boise State, forming part of our college football predictions coverage.

Our independent predictive model gives Boise State a 77.2% chance of defeating Memphis. Our predicted final score has Boise State winning 32-23. According to our model, Memphis (+9.5) has a 51.2% chance of covering the spread, while the 55.5-point over/under has a 51.7% chance of going over.

Latest betting odds

We have researched the best college football odds in America for this game, which are listed here:

• Spread: Memphis +9.5 (-110) / Boise State -9.5 (-105)
• Moneyline: Memphis +295, Boise State -330
• Total: Over/Under 55.5 (-115/-103)

All odds are correct at the time of publication and are subject to change.

Model picks and best bet

After matching our predictions against the best available odds, we can reveal our picks for each of the major markets in this matchup. Plus, find our best bet for the game below:

• Spread: Memphis +9.5 @ -110 via bet365
• Moneyline: Boise State @ -330 via FanDuel
• Total: Over 55.5 @ -115 via FanDuel

According to our best college football bets, the top play to make on this game is Boise State to win.

These picks are based on our probabilities matched against the implied probabilities from the current available odds.

Game info & kickoff details

Saturday's college football matchup between Boise State and Memphis at Albertsons Stadium is scheduled to start at 6:00 PM ET.

• Who: Memphis vs. Boise State
• Date: Saturday, September 12, 2026
• Time: 6:00 PM ET/3:00PM PT
• Venue: Albertsons Stadium

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Conclusion

We predict Boise State, with a 77.2% win probability, will likely beat Memphis in Saturday's college football matchup.

Additional tools and information for betting safely can be found in our Responsible Gambling hub.

This article's predictions and probabilities are generated by Dimers' proprietary College Football prediction model. Our editorial team reviews the resulting content for accuracy and presentation before publication.